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Building a structural model: parameterization and structurality

Author

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  • Mouchart, M.

    (Université catholique de Louvain, CORE, Belgium)

  • Orsi, R.

    (University of Bologna)

Abstract

A specific concept of structural model is used as a background for discussing the structurality of its parameterization. Conditions for a structural model to be also causal are examined. Difficulties and pitfalls arising from the parameterization are analyzed. In particular, pitfalls when considering alternative parameterizations of a same model are shown to have lead to ungrounded conclusions in the literature. Discussion of observationally equivalent models related to different economic mechanisms are used to make clear the connection between an economicall meaningful parameterization and an economically meaningful decomposition of a complex model. The design of economic policy is used for drawing some practical implications of the proposed analysis.

Suggested Citation

  • Mouchart, M. & Orsi, R., 2015. "Building a structural model: parameterization and structurality," LIDAM Discussion Papers CORE 2015056, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvco:2015056
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    References listed on IDEAS

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    More about this item

    Keywords

    structural model; recursive decomposition; exogeneity; causal- ity; model identification; observationally equivalent models; structural invariance; misleading constraints;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling

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